Recently, massive physics-based data has been generated by ever-increasing scientific compute [1]}, [2]}.
This provides a huge opportunity for Machine Learning (ML) approaches to efficiently and accurately model complex physical systems [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}.
An accurate ML model trained on large data can be used to perform inference orders-of-magnitude faster than the original physics-based calculations.
